@article{Fister2013,
  author  = {Iztok Fister Jr., Xin-She Yang, Iztok Fister, Janez Brest, and  Du{\v{s}}an Fister},
  title   = {{A Brief Review of Nature-Inspired Algorithms for Optimization}},
  journal = {Elektrotehni\v{s}ki vestnik},
  number  = {3},
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}

@article{Jamil2013,
  author  = {Momin Jamil and Xin-She Yang},
  title   = {{A Literature Survey of Benchmark Functions For Global Optimization
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  number  = {2},
  year    = {2013},
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}

@article{Sorensen2015,
  author    = {Kenneth S{\"o}rensen},
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  year      = {2015},
  publisher = {Wiley Online Library},
  doi       = {10.1111/itor.12001}
}

@book{Yang2014,
  author    = {Xin-She Yang},
  title     = {{Nature-inspired optimization algorithms}},
  year      = {2014},
  publisher = {Elsevier}
}

@book{Hassanien2016,
  author    = {Aboul Ella Hassanien and Eid Emary},
  title     = {{Swarm intelligence: principles, advances, and applications}},
  year      = {2016},
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@article{Deap2012,
  author    = {F{\'e}lix-Antoine Fortin, Fran{\c{c}}ois-Michel De Rainville, Marc-Andr{\'e} Gardner, Marc Parizeau, and Christian Gagn{\'e}},
  title     = {{DEAP: Evolutionary algorithms made easy}},
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  volume    = {13},
  number    = {Jul},
  pages     = {2171--2175},
  year      = {2012}
}

@inproceedings{Evolopy2016,
  author    = {Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili, Pedro A Castillo, and Juan J Merelo},
  title     = {{EvoloPy: An Open-source Nature-inspired Optimization Framework in Python.}},
  booktitle = {{Proceedings of the 8th International Joint Conference on Computational Intelligence}},
  pages     = {171--177},
  year      = {2016}
}

@article{Pyswarms2018,
  author    = {Lester James V. Miranda},
  title     = {{PySwarms: a research toolkit for Particle Swarm Optimization in Python}},
  journal   = {{Journal of Open Source Software}},
  year      = {2018},
  volume    = {3},
  issue     = {21},
  doi       = {10.21105/joss.00433}
}

@online{Inspyred2014,
  author    = {Aaron Garrett},
  title     = {{inspyred: Bio-inspired Algorithms in Python}},
  url       = {https://pypi.python.org/pypi/inspyred},
  year      = {2014}
}

@inproceedings{Pygmo2012,
  author    = {Dario Izzo},
  title     = {{Pygmo and pykep: Open source tools for massively parallel optimization in astrodynamics (the case of interplanetary trajectory optimization)}},
  booktitle = {{Proceedings of the Fifth International Conference on Astrodynamics Tools and Techniques, ICATT}},
  year      = {2012}
}
